Junior ML Engineer: Personalization & Production Models

GCS Recruitment; United States; On-site; USD 70,000 - 110,000; Full time

Job summary

GCS Recruitment seeks an AI Engineer (Machine Learning) to join our team remotely in the USA. The role focuses on building and deploying machine learning models for personalization, with collaboration across data scientists and software engineers.

The ideal candidate will have 1–3 years of experience, strong Python skills, and experience with ML frameworks and large datasets. This position offers a flexible remote work setup and opportunities to impact customer experiences at scale.

Qualifications

• Bachelor's or Master's degree in Computer Science, ML, AI, Statistics, Mathematics, Engineering, or related quantify field.
• 1–3 years of relevant experience including internships, research, or projects.
• Strong programming skills in Python and familiarity with ML frameworks.

Responsibilities

• Develop, train, and deploy ML models for personalization and recommendations.
• Build scalable data pipelines for feature engineering and model training.
• Collaborate with data scientists and software engineers to productionize prototypes.
• Improve ranking models using large-scale behavioral data.
• Monitor model performance with experiments, A/B tests, and data-driven analysis.
• Write clean, maintainable Python code following software engineering best practices.
• Support initiatives that enhance customer engagement through ML solutions.

Skills

Strong analytical skills

Team collaboration

Education

Bachelor's or Master's in CS/ML/AI/Statistics/Math/Engineering

Tools

Python

Scikit-learn

TensorFlow

PyTorch

SQL

Git

Job description

GCS Recruitment seeks an AI Engineer (Machine Learning) to join our team remotely in the USA. The role focuses on building and deploying machine learning models for personalization, with collaboration across data scientists and software engineers.

The ideal candidate will have 1–3 years of experience, strong Python skills, and experience with ML frameworks and large datasets. This position offers a flexible remote work setup and opportunities to impact customer experiences at scale.